I have a table with data as
-----------------------------------------------------------------------------
CUSTOMER CSAC CIRCUIT VALUE TOWN POST_CODE
-----------------------------------------------------------------------------
RCE | CSAC125896 | ICUK809605 | 100 MBPS | BASILDON | SS15 5FS
RCE | CSAC125896 | ICUK809605 | 100 MBPS | BASILDON | SS15 6AA
I want the second post code also to be displayed in the same row if the csac values are same like this
-----------------------------------------------------------------------------
CUSTOMER CSAC CIRCUIT VALUE TOWN POST_CODE POST_CODE2
-----------------------------------------------------------------------------
RCE|CSAC125896 |ICUK809605 |100 MBPS | BASILDON | SS15 5FS | SS15 6AA
How can I achieve this result. I have tried using transpose but didn't get the desired result.
SELECT CUSTOMER,
CSAC,
CIRCUIT,
VALUE,
TOWN,
MAX( CASE RN WHEN 1 THEN POST_CODE END ) AS POST_CODE_1,
MAX( CASE RN WHEN 2 THEN POST_CODE END ) AS POST_CODE_2
FROM (
SELECT t.*,
ROW_NUMBER() OVER (
PARTITION BY CUSTOMER, CSAC, CIRCUIT, VALUE, TOWN
ORDER BY POST_CODE
) AS RN
FROM table_name t
)
GROUP BY CUSTOMER,
CSAC,
CIRCUIT,
VALUE,
TOWN;
Output:
CUSTOMER CSAC CIRCUIT VALUE TOWN POST_CODE_1 POST_CODE_2
-------- ---------- ---------- -------- -------- ----------- -----------
RCE CSAC125896 ICUK809605 100 MBPS BASILDON SS15 5FS SS15 6AA
Assuming that you can have more than two rows with the same field values, but different POST_CODE, you can not know in advance the number of columns your query needs to return.
With a slightly different approach, you can try:
select CUSTOMER, CSAC, CIRCUIT, VALUE, TOWN,
listagg(POST_CODE, ', ') within group (order by post_code)
from your_table
group by CUSTOMER, CSAC, CIRCUIT, VALUE, TOWN
Related
I have Incoming Stock transaction data using Oracle:
ID | DESCRIPTION | PART_NO | QUANTITY | DATEADDED
TR5 | FG | P0025 | 5 | 06-SEP-2017 08:20:33 <-- just now added
TR4 | Test | TEST1 | 8 | 05-SEP-2017 15:11:15
TR3 | FG | GSDFGSG | 10 | 31-AUG-2017 16:26:04
TR2 | FG | GSDFGSG | 2 | 31-AUG-2017 16:05:39
TR1 | FG | GSDFGSG | 2 | 30-AUG-2017 16:30:16
And now I'm grouping that data to be:
TR_ID | PART_NO | TOTAL
TR1 | GSDFGSG | 14
TR4 | TEST1 | 8
TR5 | P0025 | 5 <-- just now added
Query Code:
SELECT MIN(TRANSACTION_EQUIPMENTID) as TR_ID,
PART_NO,
SUM(T.QUANTITY) AS TOTAL
FROM WA_II_TBL_TR_EQUIPMENT T
GROUP BY T.PART_NO
As you can see on that data and query code, I'm show TR_ID using MIN to get first ID on first transaction.
And now I have Outgoing transaction data:
Assume I try to get quantity 8
ID_FK | QUANTITY
TR1 | 8
And now I want to get last ID due to quantity 8 has been consumed
ID | DESCRIPTION | PART_NO | QUANTITY
TR3| FG | GSDFGSG | 10 <-- CONSUMED 4+2+2, TOTAL 8
TR2| FG | GSDFGSG | 2 <-- CONSUMED 2+2, TOTAL 4
TR1| FG | GSDFGSG | 2 <-- CONSUMED 2
As you can see above, TR1, TR2 has been consumed. Now I want the query
SELECT MIN(TRANSACTION_EQUIPMENTID) as TR_ID,
PART_NO,
SUM(T.QUANTITY) AS TOTAL
FROM WA_II_TBL_TR_EQUIPMENT T
GROUP BY T.PART_NO
get the last id is : TR3, due to TR1 & TR2 has been consumed.
How to do that in query?
Take minimum id where growing sum is greater than 8. Use analytic sum():
select min(id) id
from (select t.*,
sum(quantity) over (partition by part_no order by id) sq
from t
where part_no = 'GSDFGSG'
)
where sq >= 8
Test data, output:
create table t(ID varchar2(3), DESCRIPTION varchar2(5),
PART_NO varchar2(8), QUANTITY number(5), DATEADDED date);
insert into t values ('TR4', 'Test', 'TEST1', 8, timestamp '2017-09-05 15:11:15');
insert into t values ('TR3', 'FG', 'GSDFGSG', 10, timestamp '2017-08-31 16:26:04');
insert into t values ('TR2', 'FG', 'GSDFGSG', 2, timestamp '2017-08-31 16:05:39');
insert into t values ('TR1', 'FG', 'GSDFGSG', 2, timestamp '2017-08-30 16:30:16');
insert into t values ('TR5', 'FG', 'GSDFGSG', 3, timestamp '2017-08-31 17:00:00');
Edit:
Add part_no and total columns and group by clause:
select min(id) id, part_no, min(sq) total
from (select t.*,
sum(quantity) over (partition by part_no order by id) sq
from t
where part_no = 'GSDFGSG'
)
where sq >= 8
group by part_no
ID PART_NO TOTAL
--- -------- ----------
TR3 GSDFGSG 14
I'm using ORACLE Database,
How to get all column with GROUP by only 1 column (EMP_ID)?
Example I have table ESD_RESULTS
FIRST_NAME | LAST_NAME | EMP_ID | WRIST_STATUS | LFOOT_STATUS | DATE
Dodo | A | 0101 | Pass | Pass | 2016-01-18 10:00
Wedi | Wil | 0105 | Pass | Pass | 2016-01-18 10:05
Dodo | A | 0101 | Pass | Fail | 2016-01-18 10:11
What I want the data display is (Get the last data by date desc if EMP_ID same):
FIRST_NAME | LAST_NAME | EMP_ID | WRIST_STATUS | LFOOT_STATUS | DATE
Dodo | A | 0101 | Pass | Fail | 2016-01-18 10:11
Wedi | Wil | 0105 | Pass | Pass | 2016-01-18 10:05
I tried to use DISTINCT and GROUP by the data still show all.
One option is to use ROW_NUMBER() to identify the latest record for each employee:
SELECT t.FIRST_NAME,
t.LAST_NAME,
t.EMP_ID,
t.WRIST_STATUS,
t.LFOOT_STATUS,
t.DATE
FROM
(
SELECT FIRST_NAME, LAST_NAME, EMP_ID, WRIST_STATUS, LFOOT_STATUS, DATE,
ROW_NUMBER() OVER (PARTITION BY EMP_ID ORDER BY DATE DESC) rn
FROM ESD_RESULTS
) t
WHERE t.rn = 1
Since presumably the first name and the last name are determined by the emp_id (they don't change from one row to another), you might as well group by all three columns - resulting in less work. (On the other hand, it would make more sense to normalize your table design; one table shows the associated first name and last name for each emp_id, there is no need to repeat the first name and last name in "this" table, which you show in your post.)
Then: you can use the FIRST/LAST function, with keep (dense_rank ...), as demonstrated below, to eliminate the need for a subquery and an outer query. If there is the possibility of two rows having the exact same date and time for an emp_id, you may refine the query to accommodate "tie-breaks" of some kind. If there are no ties, then the query will work without modification.
DATE is a reserved word in Oracle, it shouldn't be used for table or column names. I changed it to DT.
with
test_data ( first_name, last_name, emp_id, wrist_status, lfoot_status, dt ) as (
select 'Dodo', 'A' , 0101, 'Pass', 'Pass', to_date('2016-01-18 10:00', 'yyyy-mm-dd hh24:mi') from dual union all
select 'Wedi', 'Wil', 0105, 'Pass', 'Pass', to_date('2016-01-18 10:05', 'yyyy-mm-dd hh24:mi') from dual union all
select 'Dodo', 'A' , 0101, 'Pass', 'Fail', to_date('2016-01-18 10:11', 'yyyy-mm-dd hh24:mi') from dual
)
-- end of test data (NOT part of the solution); SQL query begins BELOW THIS LINE
select first_name, last_name, emp_id,
min(wrist_status) keep (dense_rank last order by dt) as wrist_status,
min(lfoot_status) keep (dense_rank last order by dt) as lfoot_status,
max(dt) as dt
from test_data
group by first_name, last_name, emp_id
;
FIRST_NAME LAST_NAME EMP_ID WRIST_STATUS LFOOT_STATUS DT
---------- --------- ---------- ------------ ------------ ----------------
Dodo A 101 Pass Fail 2016-01-18 10:11
Wedi Wil 105 Pass Pass 2016-01-18 10:05
2 rows selected.
I have a EMP table. I need to get number of employees in each department grouped by country name = 'INDIA','USA', 'AUSTRALIA'.
For example,
DEPARTMENT | #EMPLOYEE(INDIA) | #EMPLOYEE(USA) | # EMPLOYEE(AUSTRALIA)
ACCOUNTING | 5 |2 | 3
IT | 5 |2 | 1
BUSINESS | 1 |4 | 3
I need to use Partition BY to do it. I am able to use PARTITION by to get the total count of employees for each department. But I am not able to subgroup by country name.
Please give me suggestions.
Thank you.
Consider conditional count.
SELECT DEPARTMENT,
COUNT(CASE WHEN Country = 'INDIA' THEN 1 END) as emp_india,
COUNT(CASE WHEN Country = 'USA' THEN 1 END) as emp_usa,
COUNT(CASE WHEN Country = 'AUSTRALIA' THEN 1 END) as emp_australia
GROUP BY DEPARTMENT
I am trying to:
Create a cursor that gets all the current prices of items in a store.
I bulk collect the cursor and loop upserting by using MERGE statement into STORE_INVENTORY table.
Now I want to NULL out the PRICE column in the STORE_INVENTORY table that are not in the cursor.
How can step 3 be done? I can do step 1 and 2 already as I have already updated or inserted the items that are pulled from the cursor.
Here is some example data:
There are three source tables where it is updated by an external party. My objective is to take these three sources of data and merge it into a singular table.
SOURCE TABLES
ITEM_TYPES
DESC_ID | TYPE
A | Kitchen
B | Bath
ITEM_MANIFEST
LOC_ID | ORIGIN
U | USA
C | CHINA
ITEM_PRICE
ITEM_ID | PRICE | DESC_ID | LOC_ID | DATE
0 | 3.99 | A | U | 9/11/2015
1 | 2.99 | B | C | 9/11/2015
2 | 1.99 | A | U | 9/05/2015
DESTINATION TABLE
STORE_INVENTORY
ITEM_ID | TYPE | ORIGIN | PRICE
0 | Kitchen | CHINA | 3.99
8 | Bath | USA | 2.99
So after I execute the SQL Procedure that has a date as a parameter. It will only pull from ITEM_PRICE if it's after the given date.
If execute the procedure with the passed in date 9/10/2015
Expected Output
STORE_INVENTORY
0 | Kitchen | USA | 3.99
1 | Bath | China | 2.99
8 | Bath | USA | NULL
So, something like this, then?
drop table item_description;
drop table item_manifest;
drop table item_price;
drop table store_inventory;
create table item_description
as
select 'A' desc_id, 'Kitchen' type from dual union all
select 'B' desc_id, 'Bath' type from dual;
create table item_manifest
as
select 'U' loc_id, 'USA' origin from dual union all
select 'C' loc_id, 'CHINA' origin from dual;
create table item_price
as
select 0 item_id, 3.99 price, 'A' desc_id, 'U' loc_id, to_date('11/09/2015', 'dd/mm/yyyy') dt from dual union all
select 1 item_id, 2.99 price, 'B' desc_id, 'C' loc_id, to_date('11/09/2015', 'dd/mm/yyyy') dt from dual union all
select 2 item_id, 1.99 price, 'A' desc_id, 'U' loc_id, to_date('05/09/2015', 'dd/mm/yyyy') dt from dual;
create table store_inventory
as
select 0 item_id, 'Kitchen' type, 'CHINA' origin, 3.99 price from dual union all
select 8 item_id, 'Bath' type, 'USA' origin, 2.99 price from dual;
select * from store_inventory;
ITEM_ID TYPE ORIGIN PRICE
---------- ------- ------ ----------
0 Kitchen CHINA 3.99
8 Bath USA 2.99
select coalesce(ip.item_id, si.item_id) item_id,
coalesce(id.type, si.type) type,
coalesce(im.origin, si.origin) origin,
ip.price
from item_description id
inner join item_price ip on (id.desc_id = ip.desc_id and ip.dt > to_date('10/09/2015', 'dd/mm/yyyy')) -- use a parameter for the date here
inner join item_manifest im on (ip.loc_id = im.loc_id)
full outer join store_inventory si on (si.item_id = ip.item_id);
ITEM_ID TYPE ORIGIN PRICE
---------- ------- ------ ----------
0 Kitchen USA 3.99
8 Bath USA
1 Bath CHINA 2.99
merge into store_inventory tgt
using (select coalesce(ip.item_id, si.item_id) item_id,
coalesce(id.type, si.type) type,
coalesce(im.origin, si.origin) origin,
ip.price
from item_description id
inner join item_price ip on (id.desc_id = ip.desc_id and ip.dt > to_date('10/09/2015', 'dd/mm/yyyy')) -- use a parameter for the date here
inner join item_manifest im on (ip.loc_id = im.loc_id)
full outer join store_inventory si on (si.item_id = ip.item_id)) src
on (src.item_id = tgt.item_id)
when matched then
update set tgt.type = src.type,
tgt.origin = src.origin,
tgt.price = src.price
when not matched then
insert (tgt.item_id, tgt.type, tgt.origin, tgt.price)
values (src.item_id, src.type, src.origin, src.price);
commit;
select * from store_inventory;
ITEM_ID TYPE ORIGIN PRICE
---------- ------- ------ ----------
0 Kitchen USA 3.99
8 Bath USA
1 Bath CHINA 2.99
Obviously, your procedure would have an input parameter of DATE datatype to pass into the query, and your query would use the parameter, rather than a hardcoded date like I did in my example. E.g. ip.dt > p_cutoff_date
I can do step 1 and 2 already as I have already updated or inserted
the items that are pulled from the cursor.
Hmm. These steps seem unnecessary - why not do them as part of the MERGE statement? What does the store_inventory table look like before you do your insert/update from the cursor? Also, what is the cursor you're using to do this?
couldn't you do a date-limited subselect of ITEM_PRICE.PRICE, after pulling in the TYPE and ORIGIN via the main join to ITEM_PRICE, without limiting on date?
i.e. something like.
select ITEM_ID, TYPE, ORIGIN
/* not selecting PRICE in the main join */
,(select PRICE from ITEM_PRICE where your join conditions
and DATE >= your param)
from ITEM_TYPES, ITEM_MANIFEST, ITEM_PRICE
where your join conditions, but no criteria on DATE
Sorry, would be clearer and easier to type up if you had provided your existing query.
From re-reading your question, I am unsure if you are inserting only 2 rows but want to get 3. Or if you have 3 rows, but you want to NULL out the missing price.
If the target table already has the 3 rows, then, instead of doing a CURSOR based approach (which can be slow on high volumes and is fussy to write), why not do an UPDATE instead, with DATE as a criteria? The NULL will be assigned to price if there is no match, that's how UPDATEs work.
UPDATE STORE_INVENTORY set PRICE
= (select PRICE from ITEM_PRICE where your join conditions
and DATE >= your param)
I am attempting to create a report in SSRS with an Oracle data source. The solution to this issue can be in SSRS but it would be preferable to be in Oracle. I do not have access to modify the tables or to create anything in the database.
Given the following table layout (Note that these tables are simplifications via sub queries of the tables that are actually being queried.):
Table 1 (Bills)
AccountID Period Tax
--------------------------
123 13/10 21.12
123 13/11 6.46
123 13/12 5.28
Table 2 (Adjustments)
AccountID Period Tax
--------------------------
123 13/11 -16.66
123 14/01 5.00
I am looking for results similar to this:
AccountID Period Tax
--------------------------
123 13/10 21.12
123 13/11 -10.20
123 13/12 5.28
123 14/01 5.00
As you can see, there can be records in the Adjustments table for a period and not have a corresponding record in the Bills table for the same period (and vice versa). I am having difficulty wrapping my head around how to modify my query to make this work. The below query is a pseudocode version of the current query I am using.
SELECT A.AccountID, NVL(B.Period, C.Period) "Period", NVL(A.Tax, 0) + NVL(B.Tax, 0) "Tax"
FROM Account A
LEFT JOIN (SELECT AccountID, Period, SUM(Tax) "Tax"
FROM Bills
GROUP BY AccountID, Period) B ON A.AccountID = B.AccountID
LEFT JOIN (SELECT AccountID, Period, SUM(Tax) "Tax"
FROM Adjustments
GROUP BY AccountID, Period) C ON A.AccountID = C.AccountID
WHERE NVL(A.Tax, 0) + NVL(B.Tax, 0) <> 0
Hopefully this is enough information. Please let me know if any more information is required.
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE Bills ( AccountID , Period, Tax )
AS
SELECT 123, '13/10', 21.12 FROM DUAL
UNION ALL SELECT 123, '13/11', 6.46 FROM DUAL
UNION ALL SELECT 123, '13/12', 5.28 FROM DUAL;
CREATE TABLE Adjustments ( AccountID , Period, Tax )
AS
SELECT 123, '13/11', -16.66 FROM DUAL
UNION ALL SELECT 123, '14/01', 5.00 FROM DUAL;
Query 1:
SELECT AccountID, Period, SUM( Tax ) AS Tax
FROM ( SELECT * FROM Bills
UNION ALL
SELECT * FROM Adjustments )
GROUP BY AccountID, Period
ORDER BY AccountID, Period
Results:
| ACCOUNTID | PERIOD | TAX |
|-----------|--------|-------|
| 123 | 13/10 | 21.12 |
| 123 | 13/11 | -10.2 |
| 123 | 13/12 | 5.28 |
| 123 | 14/01 | 5 |